cs.RO（2024-07-23）

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支柱一：机器人控制 (Robot Control) (15 🔗1)

🔬 支柱一：机器人控制 (Robot Control) (15 篇)

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1 Variable Inertia Model Predictive Control for Fast Bipedal Maneuvers 提出考虑变惯量MPC框架，提升双足机器人快速运动的鲁棒性和灵活性 humanoid humanoid robot bipedal
2 Plant Robots: Harnessing Growth Actuation of Plants for Locomotion and Object Manipulation 利用植物生长驱动实现运动和操作的植物机器人 locomotion manipulation
3 Optimizing Robotic Manipulation with Decision-RWKV: A Recurrent Sequence Modeling Approach for Lifelong Learning 提出Decision-RWKV模型，用于优化机器人操作中的终身学习序列决策问题。 manipulation decision transformer large language model ✅
4 SARO: Space-Aware Robot System for Terrain Crossing via Vision-Language Model 提出SARO：一种基于视觉-语言模型的空间感知机器人地形穿越系统 quadruped locomotion reinforcement learning
5 Fin ray-inspired, Origami, Small Scale Actuator for Fin Manipulation in Aquatic Bioinspired Robots 提出一种受鱼鳍启发的折纸小型驱动器，用于水生仿生机器人鳍片操控 locomotion manipulation
6 A Simulation Benchmark for Autonomous Racing with Large-Scale Human Data 提出基于Assetto Corsa的自动驾驶赛车仿真平台，并提供大规模人类驾驶数据。 MPC model predictive control reinforcement learning
7 PlantTrack: Task-Driven Plant Keypoint Tracking with Zero-Shot Sim2Real Transfer PlantTrack：基于DINOv2和TAPIR的零样本Sim2Real植物关键点跟踪 sim2real
8 Topology-Guided ORCA: Smooth Multi-Agent Motion Planning in Constrained Environments 提出拓扑引导的ORCA算法，解决复杂环境下多智能体平滑运动规划问题 motion planning
9 Motion Accuracy and Computational Effort in QP-based Robot Control 研究QP求解精度对机器人控制的影响，降低计算量同时保证运动精度 humanoid humanoid robot manipulation
10 From Imitation to Refinement -- Residual RL for Precise Assembly ResiP：基于残差强化学习的精确装配方法 manipulation reinforcement learning behavior cloning
11 Adapting Image-based RL Policies via Predicted Rewards 提出基于预测奖励微调(PRFT)的图像RL策略自适应方法，提升跨域泛化能力 domain randomization reinforcement learning
12 Automatic Environment Shaping is the Next Frontier in RL 提出自动环境塑造是强化学习领域下一重要前沿方向 sim-to-real reinforcement learning
13 Vision-Based Adaptive Robotics for Autonomous Surface Crack Repair 提出基于视觉的自适应机器人系统，实现自主表面裂缝修复 manipulation
14 Domain Adaptation of Visual Policies with a Single Demonstration PromptAdapt：利用单次演示进行视觉策略的领域自适应 domain randomization
15 Re-expression of manual expertise through semi-automatic control of a teleoperated system 提出一种半自动遥操作控制方法，用于化学品操作中的专家技能复现 manipulation

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